AI Research Engineer Jobs at Scale AI with Visa Sponsorship
Scale AI hires AI Research Engineers to advance data labeling, model evaluation, and RLHF infrastructure at the frontier of AI development. The company has a consistent track record of sponsoring work visas for this function, covering multiple pathways for both early-career and experienced researchers.
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Get Access To All JobsINTRODUCTION
Scale AI is seeking a technically rigorous and driven AI Research Engineer to join our Enterprise Evaluations team. This high-impact role is critical to our mission of delivering the industry's leading GenAI Evaluation Suite. You will be a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise. The ideal candidate has a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and thrives in a dynamic, fast-paced research environment. We are looking for an engineer who can think outside the box, stays current with the latest literature in AI evaluation, and is passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems.
Responsibilities
- Partner with Scale’s Operations team and enterprise customers to translate ambiguity into structured evaluation data, guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems.
- Analyze feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments.
- Design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems. This includes creating models that critique, grade, and explain agent outputs (e.g., RLAIF, model-judging-model setups), along with scalable evaluation pipelines and diagnostic tools.
- Pursue research initiatives that explore new methodologies for automatically analyzing, evaluating, and improving the behavior of enterprise agents, pushing the boundaries of how AI systems are assessed and optimized in real-world contexts.
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.
- 2+ years of experience in Machine Learning or Applied Research, focused on applied ML systems or evaluation infrastructure.
- Hands-on experience with Large Language Models (LLMs) and Generative AI in professional or research environments.
- Strong understanding of frontier model evaluation methodologies and the current research landscape.
- Proficiency in Python and major ML frameworks (e.g., PyTorch, TensorFlow).
- Solid engineering and statistical analysis foundation, with experience developing data-driven methods for assessing model quality.
PREFERRED QUALIFICATIONS
- Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field.
- Published research in leading ML or AI conferences such as NeurIPS, ICML, ICLR, or KDD.
- Experience designing, building, or deploying LLM-as-a-Judge frameworks or other automated evaluation systems for complex models.
- Experience collaborating with operations or external teams to define high-quality human annotator guidelines.
- Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis.
- Experience contributing to scalable pipelines that automate the evaluation and monitoring of large-scale models and agents.
- Familiarity with distributed computing frameworks and modern cloud infrastructure.
COMPENSATION
- Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
LOCATION
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $179,400—$224,250 USD.
About us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
DATA PRIVACY
We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
INTRODUCTION
Scale AI is seeking a technically rigorous and driven AI Research Engineer to join our Enterprise Evaluations team. This high-impact role is critical to our mission of delivering the industry's leading GenAI Evaluation Suite. You will be a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise. The ideal candidate has a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and thrives in a dynamic, fast-paced research environment. We are looking for an engineer who can think outside the box, stays current with the latest literature in AI evaluation, and is passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems.
Responsibilities
- Partner with Scale’s Operations team and enterprise customers to translate ambiguity into structured evaluation data, guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems.
- Analyze feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments.
- Design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems. This includes creating models that critique, grade, and explain agent outputs (e.g., RLAIF, model-judging-model setups), along with scalable evaluation pipelines and diagnostic tools.
- Pursue research initiatives that explore new methodologies for automatically analyzing, evaluating, and improving the behavior of enterprise agents, pushing the boundaries of how AI systems are assessed and optimized in real-world contexts.
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.
- 2+ years of experience in Machine Learning or Applied Research, focused on applied ML systems or evaluation infrastructure.
- Hands-on experience with Large Language Models (LLMs) and Generative AI in professional or research environments.
- Strong understanding of frontier model evaluation methodologies and the current research landscape.
- Proficiency in Python and major ML frameworks (e.g., PyTorch, TensorFlow).
- Solid engineering and statistical analysis foundation, with experience developing data-driven methods for assessing model quality.
PREFERRED QUALIFICATIONS
- Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field.
- Published research in leading ML or AI conferences such as NeurIPS, ICML, ICLR, or KDD.
- Experience designing, building, or deploying LLM-as-a-Judge frameworks or other automated evaluation systems for complex models.
- Experience collaborating with operations or external teams to define high-quality human annotator guidelines.
- Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis.
- Experience contributing to scalable pipelines that automate the evaluation and monitoring of large-scale models and agents.
- Familiarity with distributed computing frameworks and modern cloud infrastructure.
COMPENSATION
- Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
LOCATION
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $179,400—$224,250 USD.
About us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
DATA PRIVACY
We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
See all 82+ AI Research Engineer at Scale AI jobs
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Get Access To All JobsTips for Finding AI Research Engineer Jobs at Scale AI Jobs
Align your research portfolio to Scale's work
Scale AI's AI Research Engineer roles center on reinforcement learning from human feedback, model evaluation, and data pipeline quality. Frame your published work, projects, or thesis around these areas before applying, not after you get the interview.
Verify your OPT or CPT timeline before applying
If you're on F-1 status, confirm your OPT start date and the 60-day cap on unemployment. Scale AI's hiring cycles can run six to ten weeks, so apply early enough that your authorization covers the full onboarding window.
Target roles that specify specialty occupation criteria
For H-1B sponsorship, USCIS requires the position to qualify as a specialty occupation. Look for Scale AI job postings that explicitly require a bachelor's degree or higher in a directly related field like computer science, machine learning, or statistics.
Understand Scale AI's LCA obligations before negotiating
Every H-1B and E-3 offer requires a certified Labor Condition Application filed with the DOL. The LCA locks in a prevailing wage for your role and location, so research DOL wage levels for AI Research Engineers in Scale AI's office locations before discussing compensation.
Use Migrate Mate to filter Scale AI's open AI Research Engineer roles
Browsing general job boards won't show you which postings are open to sponsored candidates. Use Migrate Mate to filter AI Research Engineer openings at Scale AI by visa type, so you're only spending time on roles where your immigration situation is already accounted for.
Prepare your EB-2 or EB-3 conversation early in the offer stage
Scale AI sponsors EB-2 and EB-3 Green Card pathways for this function. Ask your recruiter about the PERM labor certification timeline during offer negotiation, not after you've started, so you understand when the process typically begins for engineers at your level.
AI Research Engineer at Scale AI jobs are hiring across the US. Find yours.
Find AI Research Engineer at Scale AI JobsFrequently Asked Questions
Does Scale AI sponsor H-1B visas for AI Research Engineers?
Yes, Scale AI sponsors H-1B visas for AI Research Engineers. The H-1B requires the role to qualify as a specialty occupation, which AI Research Engineer positions at Scale AI consistently meet given the degree requirements in fields like computer science or machine learning. Your employer files the petition with USCIS, and you're subject to the annual H-1B cap and lottery unless you qualify for a cap-exempt filing.
Which visa types are commonly used for AI Research Engineer roles at Scale AI?
Scale AI sponsors several visa categories for this function, including H-1B, E-3 for Australian citizens, TN for Canadian and Mexican nationals, F-1 OPT and CPT for current students, J-1 for exchange visitors, and EB-2 or EB-3 immigrant visas for permanent residence pathways. The right category depends on your nationality, educational background, and where you are in your career.
How do I apply for AI Research Engineer jobs at Scale AI?
You can find and apply for AI Research Engineer positions at Scale AI through Migrate Mate, which filters open roles by visa sponsorship type so you can confirm your immigration situation fits before applying. When you apply, expect a technical screen focused on machine learning fundamentals, followed by a research presentation or coding assessment, and a final loop with the engineering and research teams.
What qualifications does Scale AI expect for AI Research Engineer roles?
Scale AI typically expects a master's degree or PhD in computer science, machine learning, or a related quantitative field for AI Research Engineer positions, along with hands-on experience in model training, evaluation, or data quality research. Familiarity with reinforcement learning from human feedback, large language model fine-tuning, or annotation pipeline design gives candidates a practical edge in the interview process.
How do I time my visa sponsorship process when joining Scale AI?
Timing depends on your current status. F-1 OPT holders should confirm their remaining work authorization covers Scale AI's full hiring and onboarding timeline, which can take two to three months. H-1B transfers from another employer can begin on day one under portability rules if a petition is filed promptly. For new H-1B filings, USCIS standard processing runs three to five months, with premium processing available to expedite to around 15 business days.
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